Senior Data Engineer

Ensemble RCM LLC supports healthcare revenue cycle operations with scalable data engineering that prioritizes data integrity, security, performance, and compliance. This Senior Data Engineering role is based in Blue Ash, OH (remote) and supports teams that turn product and business concepts into reliable, production-ready data solutions. The position offers USD 101, per year and requires 6+ years of hands‑on engineering experience.

• Associate Benefits designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well‑being programs.
• Growth through professional development, including professional certifications relevant to your field and tuition reimbursement
  .
• Recognition via quarterly and annual incentive programs for employees who go beyond expectations and keep raising the bar for themselves and the company.

• Develop, test, deploy, monitor, and continuously improve scalable data pipelines and API integrations
  .
• Use generative AI tools in day‑to‑day engineering work to accelerate development and improve quality, including troubleshooting complex systems and designing scalable data solutions.
• Translate product and business concepts into incremental, high‑quality technical deliverables
  .
• Participate in hands‑on design sessions and contribute through thorough code reviews
  .
• Implement data quality monitoring to help ensure accurate, reliable production data.
• Review and recommend architectural patterns that align with enterprise platforms and best practices.
• Maintain a consistent approach to applying generative AI to improve code quality, accelerate development, and support scalable architectures.

• 6+ years of hands‑on experience developing solutions using Microsoft SQL
  .
• 3+ years working with big data technologies including Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus).
• Strong engineering fundamentals, including automated testing
  , code reviews
  , telemetry
  , iterative delivery, and Dev Ops
  .
• Experience with polyglot storage architectures across relational
  , columnar
  , key‑value
  , and graph systems.
• Hands‑on experience with Delta Lake tables and Parquet data stored in ADLS
  .
• Experience building distributed, componentized applications using event‑driven patterns
  .
• Ability to communicate effectively with technical and non‑technical
  , globally distributed audiences.
• Solid foundation in software architecture
  , design patterns, and engineering best practices.
• Healthcare data experience; familiarity with HL7 or EDI is a plus.
• High attention to detail and a strong sense of ownership.

Microsoft SQL, Databricks, Apache Spark, Python, Microsoft Azure, ADF, Dataflows, Azure Functions, Service Bus, Delta Lake, Parquet, ADLS

This Data Senior Engineer role is critical for designing, developing, and optimizing data solutions that support healthcare revenue cycle operations. You will help deliver data integrity, scalability, and performance across complex systems, enabling actionable insights and operational efficiency. The role combines advanced engineering expertise with data architecture and analytics to drive innovation and support compliance in a highly regulated environment, including robust pipelines, architectures, and integrations for enterprise analytics and reporting.

Key focus areas include ensuring data quality and security while applying best practices for ETL processes, database optimization, and cloud‑based solutions. You will also collaborate with cross‑functional teams to translate business requirements into technical deliverables and proactively monitor system performance to support reliability and scalability, including support for governance initiatives and compliance with healthcare data standards.